We investigate using topic prediction data, as a summary of document content, to compute measures of search result quality. Unlike existing quality measures such as query clarity t...
Statistical topic models provide a general data-driven framework for automated discovery of high-level knowledge from large collections of text documents. While topic models can p...
Chaitanya Chemudugunta, Padhraic Smyth, Mark Steyv...
In this paper we introduce a probabilistic framework to exploit hierarchy, structure sharing and duration information for topic transition detection in videos. Our probabilistic d...
Dinh Q. Phung, Thi V. Duong, Svetha Venkatesh, Hun...
Abstract--With the increased presence of digital imaging devices, there also came an explosion in the amount of multimedia content available online. Users have transformed from pas...
Formally defining the knowledge units taught in a course helps instructors ensure a sound coverage of topics and provides an objective basis for comparing the content of two cours...
Michela Pedroni, Manuel Oriol, Bertrand Meyer, Luk...